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Study of Semi-supervised Approaches to Improving English-Mandarin Code-Switching Speech Recognition., , , and . INTERSPEECH, page 1928-1932. ISCA, (2018)On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition., , , , , and . CoRR, (2018)The NNI Query-by-Example System for MediaEval 2014., , , , , , , , , and 3 other author(s). MediaEval, volume 1263 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)The NNI Query-by-Example System for MediaEval 2015., , , , , , , , , and 10 other author(s). MediaEval, volume 1436 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)System and keyword dependent fusion for spoken term detection., , , , , , , and . SLT, page 430-435. IEEE, (2014)Pruning Strategies for Partial Search in Spoken Term Detection., , , , and . SoICT, page 114-119. ACM, (2017)Language independent query-by-example spoken term detection using N-best phone sequences and partial matching., , , , , , , , , and 3 other author(s). ICASSP, page 5191-5195. IEEE, (2015)Neural networks based channel compensation for i-vector speaker verification., , , , , , and . ISCSLP, page 1-5. IEEE, (2016)Internal language model estimation through explicit context vector learning for attention-based encoder-decoder ASR., , , , , and . CoRR, (2022)Average Modeling Approach to Voice Conversion with Non-Parallel Data., , , , and . Odyssey, page 227-232. ISCA, (2018)